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Development of the Software for Solving the Knapsack Problem by Solving the Traveling Salesman Problem

机译:通过解决旅行推销员问题来解决对背包问题的软件的开发

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The work addressees the topical problem of reducing some NP-complete problems to others. The authors focus on the development of an algorithm for reducing the knapsack problem to the traveling salesman problem to find its solution and transfer the results of solving one NP-complete problem to another.Authors investigate the developed reduction algorithm for accuracy of obtaining the result of the original NP-complete problem and computational complexity. The paper shows a mathematical model of the reduction algorithm, provides a mathematical proof of its accuracy, as well as a proof of the polynomial computational complexity of the developed reduction algorithm.For a programmatic demonstration of the correctness of the work, authors implemented the developed reduction algorithm in Java programming language, as well as the exact algorithms for solving the knapsack problem, and the traveling salesman problem. Using this program, we carried out the experiments to find solutions to the original NP-complete problem with different amounts of input data, and we confirmed the correctness of the reduction algorithm.The paper describes further prospects for the study of this direction.
机译:工作解决方案旨在减少对他人一些NP完全问题的局部问题。作者侧重于开发用于将背包问题减少到旅行推销问题的算法,以找到其解决方案并将解决一个NP完整问题的结果转移到另一个问题。奉献研究了所发达的减少算法,以获得获得结果的准确性原始的NP完整问题和计算复杂性。本文显示了减少算法的数学模型,提供了其准确性的数学证据,以及发达的减少算法的多项式计算复杂性的证明。对于工作的正确性,提交的是开发的Java编程语言中的还原算法,以及解决背包问题的精确算法,以及旅行推销员问题。使用此程序,我们进行了实验,以找到解决原始NP完整问题的解决方案,以不同的输入数据,我们确认了减少算法的正确性。本文描述了对此方向研究的进一步前景。

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